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techniques to map gene regulatory networks (e.g. ChIP-seq, RNA-seq) and statistical approaches to discover genotype-phenotype associations (e.g. GWAS, random forest) in common-garden and aquaculture
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 14 days ago
Emeraude INRIA/INSA-Lyon research team which is physically based at the CITI Lab of INSA-Lyon (Villeurbanne, France). This PhD will be conducted under the supervision of Romain Michon (Inria) and Pierre
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you will design, build and operate advanced electrochemical systems focused on product detection. The project builds upon many years of experience - for example with the "sniffer chip" which has been
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HPC systems. IVRs either in package or on-chip, provide voltage regulation closer to the load, enabling miniaturization and modularity while reducing resistive losses due to shorter PDN interconnects
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for building the next generation of semiconductor quantum chips! You will be part of the LIST Materials Research and Technology department, where you will carry out your work in the Quantum Materials
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and performance in HPC systems. IVRs either in package or on-chip, provide voltage regulation closer to the load, enabling miniaturization and modularity while reducing resistive losses due to shorter
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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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”. The position is in The Hortells lab , associated with the Cardiovascular Research Group . The position is available for commencement from January 2026 for a period of four years. The nominal length of the PhD
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measurements and proteomics), and microscopy (AFM, confocal and fluorescence) instruments, microscope with cold stage, rate freezer and climate cabinets, GMO class 2 labs, flow cytometry, NGS, Q-PCR facilities
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) fabrication of the sensor chips in the MESA+ cleanroom and (4) evaluation of the resulting performance in flow and gas property sensing in our MEMS measurement lab. The project is part of the KIC FLOW